{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2018-02-25 21:26:13--  https://www.dropbox.com/s/l0vo83hmvv2aipn/crnn.pth\n",
      "Resolving www.dropbox.com (www.dropbox.com)... 162.125.7.1, 2620:100:601a:1::a27d:701\n",
      "Connecting to www.dropbox.com (www.dropbox.com)|162.125.7.1|:443... connected.\n",
      "HTTP request sent, awaiting response... 302 Found\n",
      "Location: https://dl.dropboxusercontent.com/content_link/ZeSYD70ytAsh0JaeMbpzEHHpVcvT4S0M8xXaJF11m9TFaF5q6sV3Y7GYBVQEnbV9/file [following]\n",
      "--2018-02-25 21:26:13--  https://dl.dropboxusercontent.com/content_link/ZeSYD70ytAsh0JaeMbpzEHHpVcvT4S0M8xXaJF11m9TFaF5q6sV3Y7GYBVQEnbV9/file\n",
      "Resolving dl.dropboxusercontent.com (dl.dropboxusercontent.com)... 162.125.7.6, 2620:100:601a:6::a27d:706\n",
      "Connecting to dl.dropboxusercontent.com (dl.dropboxusercontent.com)|162.125.7.6|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 33351680 (32M) [text/plain]\n",
      "Saving to: 'crnn.pth'\n",
      "\n",
      "crnn.pth            100%[===================>]  31.81M  10.2MB/s    in 3.3s    \n",
      "\n",
      "2018-02-25 21:26:18 (9.72 MB/s) - 'crnn.pth' saved [33351680/33351680]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget https://www.dropbox.com/s/l0vo83hmvv2aipn/crnn.pth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append('../../../server')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loading pretrained model from crnn.pth\n"
     ]
    }
   ],
   "source": [
    "import crnn.utils as utils \n",
    "import crnn.dataset as dataset\n",
    "import torch\n",
    "from torch.autograd import Variable\n",
    "from PIL import Image\n",
    "import crnn.models.crnn as crnn\n",
    "import glob\n",
    "from IPython.core import display\n",
    "\n",
    "\n",
    "model_path = 'crnn.pth'\n",
    "alphabet = '0123456789abcdefghijklmnopqrstuvwxyz'\n",
    "model = crnn.CRNN(32, 1, 37, 256, 1)\n",
    "print('loading pretrained model from %s' % model_path)\n",
    "model.load_state_dict(torch.load(model_path))\n",
    "converter = utils.strLabelConverter(alphabet)\n",
    "transformer = dataset.resizeNormalize((100, 32))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "e--x--e-r--e--g--a--t--e-- => exeregate           \n"
     ]
    },
    {
     "data": {
      "image/jpeg": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQoKCgoKBggLDAsKDAkKCgr/2wBDAQICAgICAgUDAwUKBwYHCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgr/wAARCAAbAH8DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD6c/Y9+Cf7Jep/sZeK/wBpT4/fDnUddl8N+LEt3j0HUJEYROLHywkfnIrHzJiSXOcbgDgV4T+0pqv7NPiHxlZT/sveCfFWiWi2jJqdn4gYGVrkuxJjKSuTldoPIJx35z9Lf8E2fijceAv2GfjB4mtdC07WpdBvYtUOmapDvtpcwLuEgIwy4t+2eVGKyv2XvE/w5/4KC/teeHIviL8E/Ceh2nh3w/e3T6Vo1jHDFq8sboI0nTGZAm4yFR1ClWBXNQo6GqbPkrSy+nq9zs2BAwlaeMGJFxuwdxwMbWHXn/ZwGOt4g0rVVkeK90GSzu7JI5nZ1YlYXQSrKMkkptZHVxlWViRkNX2p8Ffjp4f/AG3fjDrv7L/xr+BPh2xsHsb+bw3d6JYeTeaPJAwQDzCT8wG7cQqZKgFGViBseMfin4f+EnwCm/a8HwK8O6p4t13xg3h+K1uLZb608O2lsZrbbDhUATZascqE3NOqnCqFrjqPGfW4RjFezs7u+qldcvy3v8jVcns23vc+D7WaYOdMuLKORgGjjeVCUhlIZ/3gVgRk5baTyMk16/8AsHeBvBXi79pjw5oXjjwzb32j3moy291YXiN5Uj/Z5j5bqeGIZIyBwRs5zk17L8QPgV8J/wBqn4P/AA2/aN8P+ELbwRqWseNrTw94ustAiENtKJbn7ObmFRwjKSDnbyCwb/VjPofiD47fCT4IftkaD+zJoH7L3hq10XTNQ063t/EccAS/huZY42iuInCFpAplCHc25sMSezdShrqZ819j5G/aM8BaV4c+OPjbwh4b0ox6fZa5fW1lapcI4jRbqREQbslQi7AB1+ZcZ5J9o+BX7OHwj8Qfs+z/ALTv7R3jDV9B0yC8+w250SCJ55njYRrK3mRSgHcSoXaMhCzHBIrhv+ChulQaN+2L4vt47U2MJvLJnvI0Ul4Z7O3kbcCBuIZiBg8/iK6T4CftD/FL4C/C3UItZ+C3/CXfDO71Y2V3BfRMkCzjG4wy+W6ksBnbyu5V27WckiinFMpbHOftH/Cr4P8AgzU7J/g38UIPEek6tpSX1rKLlTeWTBSVWfYEGWJ3KCoJKspUAAt5TpGpi0j8nUFSNbpiIVaJlNyQTlVVMeWOQcjbtz3I4+qfil+zf8JPiR4O8E/HD9n/APtHS9B8Xa/FpN3oeruT/Z0krNubO5yQro+VLMCZF2tg7avftG+KP2UfgD43P7NWpfs4WVzp9vplvBrHjGa5Ed9AssSt50RAXdtBViPNiUspUBQCSmrLQas2fLlrqSpqLzG7WdQiuDdW7xkxkSAYkyrRn5SGLKdxU4wQQdqx+3WlzER5bR7VQAlgq5KkYckLglsDry3OCa+lPh34Q+A3ws/Yz8MfHvx38FbXxdrOpahJpd+l1qDNFxNPukVMMg2iA7Nq7gDwwycmieCP2Z/gb+zZp/7RfjX4MReJLzxfqbpZWV1qMjw2EDySbYxIFJAVIz87KX3YGQATUwUpRTsKVk2k7+fc8Aj8SWVnZPceVseMyM01rKUkRQAj7XXsAF+U9O2K8m1W41/4f/EGfWZptQuNP1C5YRwNJNKNoZVZcmXOAwzzjHAVVJWvvr4j/C/4BeIPhx8Nfix8OfBkttpWs+NLe11iF55HeRXkYPFIxckbTFIm5Tyrc9sa/wAWPCn7F/wq+Ln/AAqTxF8CZ5Yr64i+1a5DfTbdOkmG2MIC2QmDzyFy2CDiq5WtyeZny94J12bxhp8OpeHby4kHltmF828wUPs+UMem8ceoYetavhrV/Cd9YSyLr+pRmJvKuNLuoJhFBIjNgkxgPFIA7KfvKQcfLjj6E+Hf7KHwv8J/tF6z8PfHhl1GKDTlvvDEF3qZgW/WQsgJ8vDq6bZEIBIbYHA6LXn37R3hO98C/FG/T4e6Jd6JDdW0QuNO8SziJZWUnD29wGJZB0yWY8EZ7COVDUkz41+EH7V3jz4SfCnxv8IfD2g6LdaZ49037Hqs1/FKJI49kyZi2SKA2JmJ3K/IX2xR+FHiH4q/CCSL9pb4d3sljNo2uJZWeqsfNBu2heQwNnK7fKOCkmARKFHJwPNZ5ZLOSeS2coY5mSMj+FdxGB6cCu11TxPr2mfslLo1jqTx2rfE7eYcAgsbCNSeR6fl161x5hiMTh/Zext704p37Pmvbz0/E6cPCnNz5uibPou+/wCCsfjaLTr/AFDwd+z74J8M+MNcheLVPGOi2n7+Vn+9IqGM7nzg4leQHC5DbQK4f9nf9ubXvgX4av8A4ZeJPAemeNvB2rTpJf8Ah3W5DJGkiKSJICwYhwY0DFlbLQqRtbO7wCGWWK7tLaORljkicyIDwxDyjJHfgAfhSvBGmlWMybg1zbzmY7z82wqV78c+nXvXonOfS/7QH7dvi74z+HNE8A+Bvh9ZeB/DXh26S80zR/D07un2gF9shkVEV9pZiEVcZJLbsjHoWjf8FPdB1i50rxx8Vv2XvDutePNChSG08WNdrCxkjwRJJAIjtkBO5ckhCxC7ASp+Mku7i2mUwykb3kDqeQwBUjIPBqe4lkjsJL2NtssIAhZRjywQCQo6KM9hwKbdxJJbnuP7Uv7Q3/DTXxNuviDf+Dv7NkuIoZIrC3vjPGEjhSEs0mxDkqgJGMgDBIrqf2VP2ztM+C/gW8+F3xU8IWvivwbrLxzyaXdhons5xsH7twhLYaNG5wEdN6urZ3eA3lpBYeE7Sa0DI81heSSMHJJZGj2Hk8Y7Yrnf7a1Vr2Owa+cxNJHEUz/AzYZc9QD6Uir6H198f/23tD+IPgfRvhT8Gvh4ngrwzod/9vsF+0Fpri5j3urrsIwNzOcknLfMSMYrpLf9vD9mn4vadpPjX9pT9nxtb8UaRbW8Rv7O4EcGoBCXQy2/mKrjcxzE6uFJPG1iK+TdX06z0nxfcWOnRGKKSe6hZFc/cVmVVHPAAAAx2FMjZorW5RGOFiAUE5xhtoPPfAxnrTvpYR9C+L/2sPBOvfs2j9nbTvBE9jGnii41Wwnmu0e3gheSV1hwQDvVZ2XA4I5yMYre+BX7YPw10f4PXP7Pv7SPw4vfEPhxLuS40tNMmQXFmzOxbaWdBtBd2yCuA7ABwePmrVHbS7gW1gfLjiv5Yo0AyAjbdwweucnrWdHdXkkq3TXs/mJp+5GEzDBAXHQ+5oTsB9p/FD9rj4NeMPgbpXwS+EXgDU9Fi0HxFbXOlpe3sLGOJQ37yQrKXy7SScgttYfMVBFe7ftb+Lv2XvCnxc0TxR8avDWsS6hFpEV5pt/prM0F1EJHIhmUOA2Gw27jKkBmxxX5wWcsk8LG4cybl3HzDu5IcHr6g19NftgeKNd8Q+Hfh/rusXomvF8LfLceSisMrEx+6B3/AJn1NDdyZGp4h/a8+FXxM/aF/wCFifE74X399oi6Z/ZtmLO+YTWMYLSLMyqyBmy7/Nu2rng5Gas/tS/tPfDf4x+FPD/gf4af2nfroWZW1XW41E8mV2FNhGT2JYADIXAPUfOMtjaTaF9plgUyFlff3BCnoew4HHSqHiDLeHnuw7JJDFGYnjYoUyyggbcYGDjHSokEdz//2Q==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "f--o--o-d---ss-c-ra--p--s- => foodscraps          \n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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qsYOxUYNo838E/tvfssfGOzF34R+O+i+e0W5rHUJUt2U9gQ3Xv06fjXaQXqXghkt9St54J4w8UlrdpLGwPpt6V478Wv2B/wBj74oXjXOpfCS20y8lbzP7S8NTfZHDDuVj/cjHbPv71L8Dv2Hf2cvgTdx654X0HVNT1mOVnh1jXdae4aMHsgPyJ77OuBnoK5KtTnkbRjZHscsYjBQx7R3PrRFJYxFZOwBz9e1NwAxuQ+49237hSlBIhmPQ9awWg+Un0uSaQiWe48tsnj+8O1WGvZPOdEHHGTVO2utPjYLn5sHj1qS3njnj5stuD8rUw5R881vAyzlNzYI2/lRQbiWEZkk3RnqPSigT0Kgu5JQ0cce3OM0Ge4WMR+Xu202GOOTKxRux/wBmm3cf9nw+fenylJGwy9fw/StFTbLuhqXskTFJLLdu6H0p8cJLeYDyeg9KlSx1OYi5t9J/dygbJ5ejY9K5H9ojxp4x+Cnwb1b4saToNvriaSY/tmmy3DxIYpCUYsy9OvekqVRuyRLkdDcC8llKuOF6URCSLKvJtLfdHrXkn7C37Vlr+1ZaeJpPF3h+00680qRLmPTrMOymx5jPzt9/aY16dM+9e/8A9n6RZai0v2bc0RKGX+4QAcfkwq5UXFahzGJYWmpyXKlLJ3QZJKLkj5Sc49ua8m8Pftofs/eN/i5YfArwn4k1GXV7ic2Ukj6XtiSYbi6sfwH5Gvd/7cjtEW7h03zAkoI/6asOVX/voCvy/wD28tC1X9lf9tpPHPhFnhttTvoPEmj3UX34g7YZPolwAx+grShCNRWZnKdmfpXb+G2eMfbL4LJNy0UJ44JGcds4qzbeGrOxbzJoHliQ5mV+6YPP4HbWb4R8deHvG3hLTPHvhy7ibS9Z0uK9tzZR7kXK8qfcPuU/7tct+0B+1Z8D/wBmPSLS/wDjB4guIX1HLWGjQWPmTXJRGfCDp9/ys59RR7OEZbjTurnyn/wV8+Kq3XjPwl+zd4P2f2pAsdxfuzcm4uGUQgfQK3PbNVvg9+3B8a/2RPEcHwB/bV8JX9vp+mxR29rrCp5rwxMNwZZP+Wy4K7h/Bgf3qj8C/sz/ALQv7R/x+T9uHXvhHo0thrmpLrPhLSfFni6OBPsxRVgleC3jaThI1O3K59+30v4w/Z1+NPxh03+zvjF8ddO/s+W7+03GheEfBMFrb7uP3X2i6SaXI7Mvl55zu429Lq03T5bEuLb3Ow8IfHP4O+NvCNt498O/GPwxdaSGwL+XX4bdkX0McnRvXH49q8h/bm+FnxV/bH+FujeEv2YfHHhXULO01Wa71DGrRMJCsf7vJj4/v/e9eO9dDp3/AAT1/ZJleVvFXw7uvEVxcIVm1LxPqkk9xEMYCxsx2w7ezqBjIz2ri/hn/wAEwdB+C/xWf4ifB79o/wAV6LawFn0/TbLT0M6sWG6MyNnzExkB9jZGemOeZckZFJWRyvwF8aftpfsffBOy+Dd5+wlqHiU2t3NfS674b8QWr+aHWPoq/N/D3q5N/wAFKPGGjytaeN/2IviVZ3JBKoNNmcknrltjDsOmK+v5JoNPDz20rAb/AJJFKbnAA+dguMMTu/gX8e1E6xqd5uEeozSAsMjft21M5pyuM+aLD9uj48+LHOm/C/8A4J5+M7i5a1BhuteMyW/JH3hsUY+uai8QfBj/AIKLftSNc6f8U/Gfh/4UeGZJsS6X4aCvcyowG5WMX7xSNoxnj5jmvqaS+IVorqSZgFGcvuFVZZLxUDQxwsh+761PMB57+zp+yH8JP2U4GHwy0N7zVZ4NmoeI9XRZbiVedxTZ8iZyc45PGegrvNcsLLVNLn0zXdHtb6xvIvs8tlf25lS4hP3kYdBn364q9b/aJYx58arjpsqO/tZJEGyTaOc+9TztSuO6MPw54T8D+Ebf7B4I8E6HpEMSLFHFp2mQ24VRnCEx8vtyfvdN3HU1rhZLXEUsu5upHYUtvYxiPKSbiCM1NPH5krRewqJyc5XEymf3zvntUItPMmHtVlo5Ij5aHpSpHcOje2KRSdhgg8kn3oaeOEbZtm1uu6pTHIkQ3xbvQ+lU7uPzUMfmbs9vSgpagDGXzDs2Z421YifbhfWqxjkitFjjj3Yzn2ojjvJgkIj2ozfP70AXns47l0gk/iBI/DFFNvbG4gcLbJu4G2igh7nyD8NPGn7Xf/BQPxXrUHg/4qT/AA98EaOVt9UutKi8qZpCSRCD/FlR+Gfeu91n/glL8KtRsrn+0v2gvH1xqryl49RvdksaSFRhWRuSueuP8K8o+B/wT/4Kb/scXGqab8JvDXhPXdO1y8WSWOTWIXtbgrkCUrJypOTnb1xz0Fe1ad8Uv+ClFtZG5+InhD4IeG7JAA+pX+oXIETDpjynWPA5yXzjjHevQcoLQwaaZ0X7H/7K/jP9naLUJ/F/x0u/E3mxtFaaMm+LTrdM/wCtdG4DjI6e9er+M/C+neNvCWs+ANWiFxba9ZT6Y5kkyHMseAy+2M/lXyp45/bD/aKiMehfAHxD4G+Jnig3KpdaR4I8E3T6bCT95p9Xnm+zL7KeTtbHSvYfgxr37QeoeDjcftE6loQ1+a4DvYeFLBYLexi/uiQOxmfJUZ4AwcfeNR7TlloaR+E+DP2DPijefs3ftqWnhP4larDYwXM1zoGtSseLeQsYzIR32tCG/wCA1+j0Xje4vJTZ6X4Z1S4RVGbyKPyoZWyw3A/xcBV9tvvXhfxF/wCCc/7N/wAZvjDffFDxt4e1SCbUIVXVNK0jU3gt7idclpnaP5/MIKbtvtXvfh/wvougeGrLw7pYaO00y0S1sYZJnlaOJOFBkk+dv+BVnUq87NErjhqHiy9zbJLbWkZQrKV+dwpxnPp0ryD9tv8AZKtf2qPhPFpEdzaHxfpkyv4f1LUZHhjjj43x716b9qf98V7Xp9v8+0dB0q3P5cbCIybZH+57461lTm6cmQ6d3e582/sF/spfGn9lXw54h0n4r+OdC1eLWxBJYaZp87yyWM0fm/Kjt1BD8/7orW+NH7DXwN/aP+LLfGf403etanIunQW1tpFtf/Z7QRRnhC3ck5477a9rdfIkf7RJuYcfnRZ21vaF1b7vBapc5NlKFlYt6atlZ6fBpmm23k29hClpaQgbRDDGoCR7e2Mnnvn2qV7qRGULJtB61W+02bfKY9yD7mKZLdWiYWOPaT60uaQ+UvTSIsOUkdmPXb0/GqpnuFUSzXKIB90L1P1qJN4UzOOB0qCWCS5cMn8XWk7thylphJcK0yDjYQW+tRQy2lrMtlJceYwQED+7mlV/Kj8i4k24Ix702V47e6bybhNzgY3U07IOUtiCSNi8Sbg1Lg/8t4Of4abanPLbZH/i2dqTOLnd5e3Bp8wnoLM9wqYEe0HpTBY3c6B0k2gdambUY0lCSd+lMnnyjmCN2z1Kdql6iGraeYfJNxz3qZ4PssRbzN2ys0z3Gxvvv7P/AA05Jbjar+W644+T3oAmhuvMmL+tPZ/McrTf7NuFTOX+Xn5/enWE0gd4JO+MfrQA2aCKJMyD73fuKieO3lRY/tEr57S9F+lWd7G5xH99On0PWlurVV/fxfcbp9e9BSdiovl2ylY+1Nt4d04nWVwzH5Qnenec6PvBfy1++E71PHsuGEkVs8YPQv8AxUBzEsk0akNNvjZfvFv4qKhZJEul+1Sbcg7Pf1/pRQJ6niuv/su6r4skMXiT9qP4ryxPIXNrpvij+zYAO6qIo2Kjp3X8e1nRf2Nf2dLHVIdT1b4ajxLd28TIlx4w1W51tmLYyxS4kaPsOcL269vVltY4XRUt95XqfSpWutuY/L3Z7elNOSW5VkUdL8Jx2OnwaH4f0y0s7SJRFHbWEflQRj0Tb8n4L079RVy7t7jT5vshi3FFCE+ZuxirAhjihDt+7LdPeolku0J8m457D1pO7YnEgEcij95c/eYYFXbmOO2USPJuyoxUSzwNMkdzH+8bqv8Af/z/AFqe7PmbVHkgJ0jl6r9Khxbe5S0I4ZBAglg2Yk+9u68en51Ks9vMGzvyOu7p+FVpbqOHDS9F9OlM+2WWftNp/rOh+lUlZASyJG7DyuoqOGO4SRzN0ONtINTlRxBpfQc/iabJ9onk3SXPlv8AxD+9TAn3+X82aPsvm/vvWkWO4Qcjg9T61JF5bZjXZlvvbqAIyIwwDdf4ahSd7ecyPJtA6VZn+VfL+T5f7tVSPn/1aNz/AB0ATR3z+cbhP3g7+1PS7t5bgyNb8lTmiODz0KnZH/ud6YjxoTaPJuJ6e1AENtJ5k58hNuG5HrWhbPibyriLyt/Q/wB6oFg2nD/eX/Vf1/pU4/fYFxFll779uKBNXJbox2rq8dz93NUbm9uLlj5Em4Fhupt3aedN5NxcvsPZX3Yqa20eOL5YZHdB91H70EvQeuloZxJP90gbqmaO3WURJ91vuVNbN9kQv06DZ/dqG5MgdVjj3bck+2f/ANVNK4hp8wOYXHA6VJb2scZMr9ulNksZHj3yR7d/T8KYXkjVbaP3zSegDmgtzcecfunrTJklm3SPE7QR9CvYn/8AVViOeQobWSTbnpUM32iFGjh+cH7x9KAI1jtHiEl7I7H+IN29P60+WNriJN8m1kz+XGKgFrI4EiHeR1H92pvOuJY9nl7dtAEM8cbRYkfcQeD6UU5XkjJeTt0ooAqWkEjTyQSSbsj8qIE8ohP7rGrUyW5iMlvcPsUjhJN2KrzWVvNdCeGR2IHzb+1BoOS68x2T0xTmtY5BukuNnoPWm74zMok/h6VMZ7eTP3/l/u0AQW9pbJKf3SNn+Juv4UlykaTL5Zd85yGj3BfpUi3tvkp8/wDwKpLeO0kk3P1wcUAVY4xI7KU2jjI2bc1KlpbwI3k22wvjcf71TRpsQYuPLGTgetKE3cqOR0PrQBELaOFBNJJt7CnQ20aP5cY345J/u5p5mu/uSfd7UoS3UFj1J5oAa8HzHFw/bhe1QqJIGLxyO3rvq+v2fyR+8Rf9+q8n2cuIxskLdNvagBggkaNpZP4sYpiQyFdkffrVkefxbCPaO1QSQXkshRY9wTrQA6H7RI/leZt2Uy8gvP4bjjPNHkW0H/HzHtJ6U+3FkZAsWzJ/vpuoAWSD5Wx+8faMe1RJ+5jybf5yRmrV1DcQjeIkIPdUxii2vbgLgybvb0oAUm7mfmPaQBspF8uCZGEm2Q/fp0M8k8jiXtjFSralDvG/Pbb0/Gmlch7j3v8Aeu4ybgowfxqFYrOFikf3uprQtXuJVaC52bCB93r+NUZIPJneMS7UONox1qloIZLHI/35dowcD1qCztI3QbotpDHB9ane1gR1eCLa3c+tEU06zHzotwH3aTVwGSWnkhpppNoUjbUiyRvI0iSbvlGabPeyTTqkce3Gc024guNwepegD5L7bgU37X537ry92f0qCZ5JE8mTv0oify4TCN+R02UASSwSDCx2/TqKKasd4iBn34PTfRTSuAJDHDueXyYyccR9W+tQ3F1bsMeXtww59auSyWzOJLocH7x9MVTma2u5jc21xvjPGPTFI0JZZ7Mqyv12jFQw2wmnSD+FwT+WKkkntPK2R/ep1vavNGVkPynoPWgB1qdPXMX8TZH5f/rqDywjJHj5dx/pUsMmn202w2W1l4z65q19jkVWMexAvPz98/8A6qAKhsbN32Rf6xulWEtLeOFoSPm/iqaK1kRRcPEkuehT+GoJ48uV/wCenb0x/wDroAfZWkdurFE3bsZ56Ut28kYDRx465puw2kKp61MssciLG8W4nJH4UAUYrW4ncuYt2/v6VZE5tiIppdxH3R6UguZ5JmkEW0Hge+KrzfaJps5+7QJuw8zz3Exjb/V/xVNv8lP9H+6lQh9zoJ9nHTdUkklukgxJtyf+WXf600ri5iJnllYyP3/6abadBBLPMESPd6/vN1X0kt5YTGd757t/DSssUlv9jS568kemKfKHMZ8sdw9w1obZ8DrsqUWPkOscMbqSDu396sW4EqnMm7HFObyoZBu35IONlHKHMVbTS5Excvs+VjjfVovG+7zI0b02UWs8/lHEbsN3BbtSq8jsfMuenQHtTWgnqMtuLgSQ23C/ePpSXkEc8xlXe5/iCdqmW3E6mM3KYPUN1P0pkcFnbyeWm+M9y3RvpTEQoIwcPb8jp5v9Khk+0GRlFum31TtVm8+z8gSbientRa6dcSISNmO2+TbQBTksY2Xatz97qPSpfsMS2/lyybttW30u8A8yONG29dk/H41CNGuJVaSeWxizjG+TcTUPcCjMlvaw7lj3ufup61LEtulutw0aI7cFG7VdTw5cXESxwXEUmXGcdBVW80i70aN7ieSJUWUhvxpFJXIZra4tisYlRQckBe9FLBqVvHeGMHzBsyqRd/rRTTsHKTEBoVDAH60XACWgCDH0oopFFWCOOS2fegb5l6jPrU8UMMbvshVcgZwoFFFACQEtIdxz9afMqlGJUfeXt9aKKAG3ADS/MM4UYzSSgfZzx2FFFAElhxEcVOWbB+Y/nRRQA2Lnfn2qCYlZFCnGeuKKKCHuJGq/aQdoz9KuWkURnlJiU9P4frRRVrYRHMiJKdqgfQU3arEZAP1oopgX4vliG3j6VHecxc0UUAQMB9nHHen6eS86K5yPQ0UUAX9SRFkQKgA54A+lQXQGI+PWiigCazjjZGygPTqKgv40WI7UA+goooAls1U2SkqCQOCRVKAk3xyScHjNFFQ9wNGcm1QLbHyww+YJxn64rmdWAbUY2YZOW5P4UUUi1sU7wATkAUUUUDP/2Q==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "d-----r--r--c----v-----d-- => drrcvd              \n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "s----p----a---k---e----s-- => spakes              \n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ss-h-a--k-e-ssh--aa-c--k-- => shakeshack          \n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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k9V0faLc9eljaQ34ca1cazJ/ZSLEt7P8AdllmAVPqT0qbxJpl9fXC211ZBpWOF8ts5PoMdam+AngO48U61Hckl8DJJG3Ar6Un+F/g/SII9V1B490S+YNygfN6V3ZbwricfRvU0Rx4zOKeFdo7m34D716No3aiiv6BWx+HrY6nQ/8AXRfWrvjL7n40UVdI6Dz3xN9+X614P8Rf+QxD/wBd6KK8zGnoYE9/8Nf8gSL61p2P3/xoorvpF4jcfL/rh9KzNU/49aKKdIxW5xF99+f6V4b8Wf8Aj6l+lFFeTmOx7+D3R4H8S/vVwL/6r8aKK+Ax+59QtjT8Ff8AH7W/4i/1sVFFcKNVue9/spf6/wD7YV6l8YP+PAUUV9XS/wCRcePW/wCRgj//2Q==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "p-------a----------------- => pa                  \n"
     ]
    },
    {
     "data": {
      "image/jpeg": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a-------------n---e--s-s-- => aness               \n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ss----h---a---c---k------- => shack               \n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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wXpsNo0p1Lxtr1rYysOMIsO+Tk5yPnz8vT06Cy8RW+t6bBq2m30U9ndQJLaXMEquk6EHLqy8EdK5J1FzFtXVhnxE8FeGfiXokXh7xk+qm1huluI/7HuTHL5gVlGSCDtw7ceuKKaZozJmVyOP74H86K2hUXKT7KR08UkoYwMxUDkEcVNMu2INEwyTycDOKrbpp4WkdQpUZFW7dLb7GskuVYj161jdmRFGplJCxhiBk89KbJbxRfOsx3/3QelLHvjYyZVVIxuZsZqIyRJJuJRs8fKxzSewDd7b/AJstxwCaepvScxocDkgEf1p7W0csRdBz1xuqu9y6xGJIRu6ZJzUDjuKJpZLnEibQB1JB5p1z5Of3rZHYe9VYIghLSxBSOcjvTpljuIS6yeXjue350XZtZD8SqC3lbUx97dUInDR+WDzmkWdI3FtBIZgUy0h4/Cq91P8AZWLpD9cGht2CyLcNzJAQqHAz6dKmmlWVhmcN9AKzrTULe7jJ3lSRgqRSotvBIgt4pJCz42K3Xg9SegrN3asMkvQkTZDA46UiPHcRkypuPbHH8q+fPiT/AMFE/gn4B+Mv/CipNB1m/wDECeIrbSbsW5QQ27u6hmLEf7aDHvX0RFYyWly+ns+JY2cOMZ4DdM9M8irqU2kgIvslz9lb7ON3ICpjqScD+dcT8evi9ov7OHw4l+Knj0efYx38VlDbWJBuZZGOGKKeCFALH/dr0G3F1Pex6VYRK1xcSolvGxwsj7gcE/wjAJz7V+ff7ZPjrxr+2p+2joX7IPwkvo7fSNG1KW1k1iGP7Sqxlt89/KqEFVULImc4HHHzV0UKCm0pbCk3Y+7fCWo+FvHfhmz8b+DfEttq2lXzboLy3LBQQOVPON3PI9q3Ybeys33WxPzfeBUEfnX5jeCPin+09/wS7+Pd18N/HXh6+1/wdc3JZpYrWaXTtTs9+EvrVkXbBJgjKlgOua+2fhr+2j+zj8UNNtvEnhr4q6fbxXYYCx1q5S2ngKkAlgcgglgMg1c6EYS93UxvJ6XO6+O3hWP4k/BDxv8ADuW2E39seEdQhhQqDiUQNIh57hkB4/lmvzL/AOCWHxj8R+E/257Dw0j3M9r4n0DULC9jlbeFVIhOuAAWGJIEOBjAz2yD+lHjn4hxeCvA+v8AxAvlgmtNG8O32oypHJvW4jjt3bEbJ1Vh8ueSCwr8uf8AgnV8OJPiJ+1ppNzBa+LtN0Wa3v2v/EGgiSHyYTZufL+0YTaGIaM7cN+868UqVaMYSUgVOVz6x/bg/wCCimkWGmL+zX+zL4is73x7rgax1zUEu44rfR0MYLxLcOdgc9S+MqAwBBIrpv2Lvhb8AP2RPAkktx8Z/BmseL9dso5dd12DxDCI4t3Jt7dmYsMH77/xMATniu18Pfsw/s0aPYHSLT4D+FGSNFSYappa3UkjYRmLvKGZyx2k5JyUql41/Yd/ZH+IdgYvEP7OfhdHYnZc6XE1nKpPZTGVA+mMcVLxStZGipO56VZfEbw/4icx+FfEmm3yOoRUtL2G5JIUkbWWRRnIBxt57k18e/8ABYHT/F/jvSvhp4H8M+CNa1i/fVNUulGj6dLcFAY40jgG0/LIcE9cYVu9e2/CT9gz9kn4J6uuveEfhQqapG++G71LVZbqaM5zwSxXHA4r19Zb63gNtZXDxRHpFC5QLznI242n3HY46VnTrqE0y/Ynw/8AsufBP9rH4ffA3RfhhB+xR4fmv7OSS+m1/wCKHi2SOzgkmYEeTpsIc7lXOW47gnLCvbIfgR+1x4stTpPjT9tiTwzpmF3eHvg/4Lt9Mt417r9skJnP4rjoc8YPuVtbvNcKkyopJbbIVBKk8kgnp0qOSG0SZvMjVpInx5kg3MR7E5IrKvU55cw1T5TyDw/+wR+y5pd6dd8U+CdQ8aao7BptZ8ea7c6tNI47kySmId/l2V65Y6bYaHpcNlp1hbWltbRiK2tbRAkcSAcKqLhVH0FKFbzTNO4bP3SRyBRM8DACRd2TgAHH8qw9om9S7Iba61a/aWieG2TC/fu1JU+wGDz/APXoqzAEtPni+ViMfKcHFFa+1QHTRQSQO32iVWBOUCntUzTlyDkZAx0HSmX06KqlbZdwGOD2qhNqcsQO2NFOMAuTjNaXZyR3L0oR02y/dznBquv2WGUsGUZGMk1VlutRmKxSWwCsud4PGaaIxHIVaTcwGTkcU9XobWRcLhySt0AMfw1ArRNIVMmQnzcyBc+2cH8qzPFnjbwv4E8N3XjLxr4gs9K0uwj33NxeNtXHQAEDrk5x7V4bon7YHxV/aOe8tf2NvhlaPpNldmzuPHvi6+MdmswzlY441zIT94A9Qp5p+ykFkfQjpK10oiJkLDcFQM2B74Wq+qJfwxPFdW7B2OVIUgBfyGTXit1+zJ+2X4p0OaPx9+3HrNlJcZynh3w3BaQK2DwjSLvZOvIbPSuu/Z//AGd/E/wb0My+K/2h/FXjy7lDCSfWJUFpCpYHhBlt+QBnGMFvWj2UglsbnxV+JGk/CL4Yar8UNYtJrrT9B09ru9itkG9lUjIHYZ6ZPrXkX7Hv7dWl/tffEHxJ4W0b4XXejW2gaPbXizXmrxzTT+ZKyH92ijaBt6544Heu0/battBX9jr4mpqV7bb28NSQxbb3CtK8kYRduBk55x04PFfGn/BJPxDr3hz48+M9b0zwpqGp2tx4TS3ez0oB/me88xHb5gI1AVhu5xuAxzxoqVqbZlFu5+j81mTnbbPGCRhgowvHfPaq72d283lq3mKuCfs0JO4ZGck+2elYA1v4v63KDb2ug6FA4wRqF097MB7CLaoPsQelNvPCfifWZbKfxb8T9SuYd/lO9vbx2UIDfLgiMAkfN9fesbI2Py7/AG1ba78D/wDBQTxlPHY3Vzd23xLtr+3SKLAmXzLRlXjjouK/WbV/EcBmvdUvUiEMatcXEySbI4FWNZJWY9BgMevdMDrX5w+Hf2Vf2r/jL+2iPjJefCHVrPw9afEGS/v7zWpdkDWUN1IIljMjlpCYoU65yMknPX7e+PvwatPjt4buPhnqHxE1bw/o2oXTTa9BpCxJPeRtgrCXZTsQMGJ24JwATjiuqtVhKCstgPHfHn7afiH9oJdd+EX7EHg+/wDFF60LWmo+Mrd0gtrKOUFcwieRAsuMjLvxyRjAp/7Mf7IPxX+BGmXkXgi38GeENX1e22694luzeeIdaunxhlUp5dvbKQSSEMi5AyTmvYPgp8CPhN+zt4Qi+HPws0RtOs4rg3FzLfTi4uryYjAkkfB3AAkAE/LngCux2i1GFfegyVD/ADYJ9AelczrWQI821P8AZr0zxZHNH8XfjD4z8Yxzw+U+lXl+un2Gz5cqbSzESiP5QMHP0JOa8/8AiH/wTQ/Y1+IPiiLxXqvgW60uBYkgk0fw/rvk2MpUYU+WVLI2M/MpGc8nOK+h4BHNF5LqWRc7UHIB9cdB9ad5s4PlJPdBSMELIRx+BrNV29Ey+WPYwPAnw48I/D7wTY/DnwhozWmjaZbNDYW1zeS3jeWcZUzTMzOD6EkVswW0Qt4bSGGOO3t0CiFRsUYbP8OM8/zxS3cSyMoNxPlOVGwdfr3qKVLueNokhkUdS5A5qZbMdkSOG81g08fzuWCoo/OpXklt4QjzHBPIBx/Kqa3FukIin3NMv3MqB/Kl3Fk87Uz5e3nA7isBrce+oWRXycsdpztA4/zzTjdwPEZ1ts8YU7j1qCLVLQxN5MWSxwAU7VDLEwQtDlcngZ70XZpdiLqFwHxLBuG7jnGKS4jvZpMynaWPHHanW9rK8ZaZ23f3gBVhoA6LNPcMSvCkgD+VAivIk7BYmz8o4NPWFYYgxXLg9c06W/ijABXfg8cVEmrJJPgpjjqaVkJpWFvZ547hTG6oSnJfpRU08tndkCaMNgccUUyDfaRjORLJs44LGlCggmOJJWxx3x781bv47S2kKzQCcq3BzjA/CoV1VCxS1tliAHUDP4V1vYyshq2mq3aruUbgcemF/CnzaasUe2W8weuFUEg1BNq1xIzIqEnHBziq6RSOkk1xcMTt+YBwGAyPuj+I+319KjmcdRnn37ZfwEtf2gfgfdfD2w1h7bUPtEd1YTSSyJC0yBgqyiPlo/mJK9MgelfPP7Of7KH/AAUK/ZznvtE8EftF+E/DOmalP5l/Z2VtJqkchbBaRYZI2CHgcds9Oa9U/aG+FX7cfjXWp/8AhT37THhvwroLlRbWv9j3EV0gxyXn3Ek/7Axnr2ql4V+E/wDwUMg06DTvEn7cttbW8EWDJoXgoSXEh6bzJKCGOCeSM8j3reNb3QOxuvht8YNE8Pt4u+Ln7e3inSrKKPfPe2ej6Zp1vEmQC22WAPjJ6A+lfI3wc+MP7a37R/7R/wDwrv4cftBeLdR+H9h4hkSfxdfaVFEDaQNl2Z1TYzPwFUDkEnqM19Er+wH8J9d1SPxL+0P458afE+/XLx/8JXqTpaKSQci2iZUJ9NwIAJ9q9m8P6NofhDSrfwt4G8O2Gl6ZDGBHZafbrEgA4+ZVADHB6nJ96n2wWvoeR/8ABQr4G/Fn9oL9nCLwT8GbM6lfy+KrK5ubaS+SDfaKsigl3yAAxQnIP41yv/BOr9j/AMefsn2nirV/i02gXN34iubUadb6Fem7FlFCJQVklIALlmzwMcGvpiSWAMhkVWZAAiFRhcdDjpxUNxODbBGRiUVVXHJCjOB7feNDrNxtcap2dyW4u4VlE4geRsYyx4AqD7dZAeWlsu5ht5XOB+P4VBbuzJvaOQKTgK/rSSXJRxG6457LWMm0i7IkublJZBaXMcbtjHmOoBC+meuPalluBb3Ls2HadsyMjHJ5J/LJPHSo52iPKplj6inwmNEwIUD+rHHFY80u4WRO6JGHuRKcvglCxIB9cdKbLJFgMw6r61DsmaTc6pg8HDGllhYzBnA8vGAAe9K7CyFhlMYLIcDp1pyz/NvZicc/eqG02zF484CnIp8jxw8+Vz65oAspfPcKdsbdMAKOR71XuYdTkQLNfIq7s4LYP6U17ktEssUR3BuSCRxTJL2UP5pRVBGNzLup3YLcSS1swmZmd3HcnApAryw+Wo3KDyGNRtFLM297oEHgKFxUd2bu3RYgEALdS3WkaWRM9zAoEcZVpAMBdoGBSE3hi+4mc5+biqq2o84OIH3noSTg1bFnqtx8mwRtjoxyMUAV5b0tGUlnBf8AhVOOfwqEX0kUO25DK5PC5z+NX49Kkgk8ueKNyBksnU+1W0tdIaINJZ7W3cZYnn8TQBjRXN02FdQwJ4DLj+VW10aW6ZSFGCekfUVoSPbg+UkaNtG4My8Y9Kt2sqSWxm3xoQMbU6047iexSi0qPTZN0kbOSuMtRVi7kmkdYYWbG3ce/wDOitrIg0XlggUmQ7t3XnvVUXEYYiKIgYz1NMn6j6UW33z/ALtY80u4WQ5XeZPl+Ug5zio5pJwV2Pkq2chRkcdQe1TL/qTUFn/x8v8A9cz/ADFF2wsiK41G4ilHlkjPDHHJ+p70q3EXm+dcQK4C5IkUN+WelNuvvj/fpLn/AFX4Uk2gsiRX+1ZkC7BnKj2qsVjhlbyj8xOTVpuif9cjWdH/AMfjf7tF2BO91JGQ7Q+ZzyAQMe9OlubaUCXeye24f0qtff6j8apw/wCrH+9Tux3ZsRBZOWudwAyBjoaY4jZvNlYlugKqKjtf9SfpRaf60/jRdiW4lzeRREI0qls9AOakiFvc5eWbOBwMVQu/+Qq3/XM/zFT2vU/SpexpZDLmUh/KRzjPYYoMxSL5pCB+dOuug/36hn/1I+tRdhZE9l9nJDKzElvm21OW+0bliDYDfxCq2mdT9KnT/Vt/11H9aabuJpWGySiOMpIm0diO59KjiiuLhdoBVM535qd/9X/wKnD/AI8mqyClPFcRy+XA7P75zip7eztwftE6tJMByGzjH06U/Tfu/wDAq0JP9cPpQO7KCTq5LtAUUDB6/L71Ol5EsBhmfY2Mx8Z8wfj0p119/wDCql3/AMfKUBdklrc3SgvMgT+6uAfxqaFDcHzJVLf7oqvdf67/AIDWnoX3T/u/4U47hdjEtrh08k2hROodgOtVpYhbThGVZCeCc4A/KtuX/VN9Kw5vvvW1kK7JLmK4MgG5NgXjY3NFJZfdNFMD/9k=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "s-------t----a---k---e---- => stake               \n"
     ]
    },
    {
     "data": {
      "image/jpeg": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "s-------h--------a-------- => sha                 \n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "s-----h-----a---c---kk---- => shack               \n"
     ]
    },
    {
     "data": {
      "image/jpeg": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "i--------------------n---- => in                  \n"
     ]
    },
    {
     "data": {
      "image/jpeg": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "t------h----o-------d--s-- => thods               \n"
     ]
    },
    {
     "data": {
      "image/jpeg": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "s--s---n----a---c---k----- => ssnack              \n"
     ]
    },
    {
     "data": {
      "image/jpeg": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ii--------r-----a--------- => ira                 \n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "s---e----e-l---a-c--k--s-- => seelacks            \n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "s---------------e-n----s-- => sens                \n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "p----t-e--r--e--a--t-l---- => ptereatl            \n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "p------f-----g--e--------- => pfge                \n"
     ]
    }
   ],
   "source": [
    "for img_path in glob.glob('boxes/*.jpg'):\n",
    "    image = Image.open(img_path).convert('L')\n",
    "    image = transformer(image)\n",
    "    image = image.view(1, *image.size())\n",
    "    image = Variable(image)\n",
    "    model.eval()\n",
    "    preds = model(image)\n",
    "    _, preds = preds.max(2)\n",
    "    preds = preds.transpose(1, 0).contiguous().view(-1)\n",
    "    preds_size = Variable(torch.IntTensor([preds.size(0)]))\n",
    "    raw_pred = converter.decode(preds.data, preds_size.data, raw=True)\n",
    "    sim_pred = converter.decode(preds.data, preds_size.data, raw=False)\n",
    "    display.display(display.Image(img_path))\n",
    "    print('%-20s => %-20s' % (raw_pred, sim_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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